Applied Informatics (eBook, PDF)

8th International Conference, ICAI 2025, Ben Guerir, Morocco, October 8-11, 2025, Proceedings
Redaktion: Florez, Hector; Peluffo-Ordoñez, Diego

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 8th International Conference on Applied Informatics, ICAI 2025, held in Ben Guerir, Morocco, during October 8-11, 2025.

The 27 full papers included in this book were carefully reviewed and selected from 106 submissions. They were organized in topical sections as follows: Artificial Intelligence; Data Analysis; Decision Systems; Image Processing; Interdisciplinary Information Studies; Learning Management Systems; Natural Language Processing and Robotic Autonomy.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 430
• Erscheinungstermin: 7. Oktober 2025
• Englisch
• ISBN-13: 9783032071750
• Artikelnr.: 75610708

Inhaltsangabe

.- Artificial Intelligence.
.- Cognitive Architecture for learning in Autonomous Agents: A Study in Discrete Navigation.
.- Conversational System for Feline Behavior Analysis using Retrieval-Augmented Generation.
.- Multifactorial Modeling of High-impact Crime Reporting in Colombian Municipalities Using Machine Learning Techniques.
.- Systematic Review of Artificial Intelligence Applications in the Stability Assessment of Volcanic Caves.
.- Thermal Behavior Analysis in Wind Turbines using Statistical Methods and Artificial Intelligence Techniques.
.- Data Analysis.
.- A Bin-Packing strategy for scaling electricity consumption in scenarios with distributed generation.
.- A Hybrid Machine Learning Approach to Predict Barrier Profiles in Youth with Physical Disabilities.
.- Comparison of popular machine learning models for pandemic prediction.
.- Introducing an IoT-based strategy to measure athletes in field testing automatically.
.- Decision Systems.
.- A Lightweight Deep Feature Fusion and PCA-Optimized Random Forest Framework for Multi-Class Potato Leaf Disease Classification.
.- A Semi-Automatic Method for Topic Discovery and Trend Analysis Across Text Corpora.
.- Comparison of Statistical, Machine Learning, and AI-Based Models for Bitcoin (BTC) Price Prediction: A Multi-Algorithmic Evaluation.
.- Transforming Business Strategies with AI-Driven Predictive Analytics and Ethical Data Practices.
.- Distributed Semantic Cache Coordination for Retrieval-Augmented Generation Systems.
.- Preliminary Evaluation of Vision-Language Models for Fall Detection.
.- Image Processing.
.- A Comparative Analysis of Deep Transfer Learning and Traditional Handcrafted Feature Approaches for Kidney Disease Classification using Random Forests.
.- AI in Clinical Research: Menacing Disruption or Catalyst for Cognitive Breakthroughs?".
.- Interdisciplinary Information Studies.
.- Evaluating the Efficacy of a Predictive Algorithm for Forecasting Dropout Risk in First-Year Programming.
.- Poverty's non-linear dynamics: Machine learning analysis of inequality and remittances in Ecuador.
.- Socioeconomic Factors Influencing Consumer Credit Demand in Mexico.
.- Learning Management Systems.
.- Intelligent Virtual Assistant to Facilitate Learning in International Trade Contexts
.- Natural Language Processing.
.- Enhancing Hate Speech Detection in Social Media Images Using Deep Learning and Synthetic Datasets.
.- ESNLIR: Expanding Spanish NLI Benchmarks with Multi-Genre and Causal Annotation.
.- Fine-Grained Emotion Classification in Reddit Mental Health Posts using LLMs.
.- Optimizing Multimodal Language Models through Attention-based Interpretability.
.- Robotic Autonomy.
.- Evaluating LLM-Based Autonomous Agent Architectures for Task Execution with Social Robots.
.- ROS2 pipeline for open-vocabulary object detection and 3D reconstruction on Jetson Orin Nano.